Data that cannot be shared now becomes accessible. Data remains in its environment and can participate in a joint computation across other data silos. This way, sensitive data like personal or competitive information can be used in a trusted and privacy-preserving manner.
Since data resides in your environment, you control how it is used. This allows for new business models in which controlled access to and usage of your data becomes the norm. Increase revenue when you have valuable data or data with a long live time value and increase accessibility for others.
Our solutions are built on state of the art privacy technology. They elegantly integrate with your existing applications to achieve privacy-by-design. A tangible implementation of GDPR principles such as data minimization, purpose binding and the right to be forgotten. Solutions that provide the strongest guarantees to protect your customers’ privacy.
When privacy matters most, we enable analytics and industry collaboration.
Roseman Labs has built a solution for a national CERT to analyze sensitive cyber threat intel data from public and private sector organizations. The system uses our Cranmera high performance MPC engine to ensure superior privacy.
One of the most effective ways to address the gender pay gap is to measure and benchmark. For Una Collective Roseman Labs recently started the design and build of their salary benchmark platform with superb privacy and data protection.
Roseman Labs has built a solution that allows for combining anti-money laundering alerts across data silos in order to reduce the number of false positives. The solution enables high-performance de-identification for multi-bank transaction monitoring that does not require HSMs or specialized hardware.
In this first video of the series, our CTO Niek explains the basics of our data analytics solution. Our technology is based on MPC, a very powerful technology that allows you to run your logic across multiple data sources. Watertight, always encrypted.
In our whitepaper we introduce secure multiparty computation (MPC), a paradigm that enables multiple parties to perform computations on their joint data set, such that each party learns nothing beyond the output of these computations.
The European Commission and the United Nations sponsored three studies that explain that a technique called Secure Multi-Party Computation (MPC) is a “state of the art privacy preserving tool”.
Cranmera is our high performance decentralized data analytics engine. It is based on state of the art MPC technology, robust, scalable and it allows for rapid implementation.
Unlock the value of data sharing without data sharing.
Rosetta is a high-throughput parallel pseudonimisation solution, allowing different entities to use different pseudonyms for the same item. The separated items can be subjected to monitoring rules as if they are single entities.
The solution drastically reduces the risk of re-identification and data breaches.
Cascade is a serial pseudonymization solution. It allows every stakeholder in a network to prevent anyone from reidentification as long as at least one actor keeps its key secure.
We are a high-tech software company, determined to transform how organizations handle sensitive data. Our focus is uncompromised privacy and rapid deployment. We believe robust privacy and business transformation go hand-in-hand.
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